In this notebook, we train a CNN to classify images from the CIFAR-10 database. The images in this database are small color images that fall into one of ten classes. We load in the training and test data, split the training data into a training and validation set, then create DataLoaders for each of these sets of data.
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In this notebook, we train a CNN to classify images from the CIFAR-10 database. The images in this database are small color images that fall into one of ten classes. We load in the training and test data, split the training data into a training and validation set, then create DataLoaders for each of these sets of data.
umer7267/CIPHER-10-CNN-using-Pytorch
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In this notebook, we train a CNN to classify images from the CIFAR-10 database. The images in this database are small color images that fall into one of ten classes. We load in the training and test data, split the training data into a training and validation set, then create DataLoaders for each of these sets of data.
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